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教員名 : キョウ 園園
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授業科目名
Thesis Seminar 2
(英語名)
Thesis Seminar 2
科目区分
専門教育科目
ー
対象学生
国際商経学部
学年
4年
ナンバリングコード
KCCBG4MCA3
単位数
2.00単位
ナンバリングコードは授業科目を管理する部局、学科、教養専門の別を表します。詳細は右上の?から別途マニュアルをダウンロードしてご確認ください。
授業の形態
演習 (Seminar)
開講時期
2026年度後期
(Fall semester)
担当教員
キョウ 園園
所属
国際商経学部
授業での使用言語
英語
関連するSDGs目標
目標8/目標9/目標12
オフィスアワー・場所
授業後もしくは研究棟I A304(事前アポが必要)
After class or at A304, Research Building I (an appointment in advance is needed) 連絡先
kyo@em.u-hyogo.ac.jp
対応するディプロマ・ポリシー(DP)・教職課程の学修目標
二重丸は最も関連するDP番号を、丸は関連するDPを示します。
学部DP
1◎/3◎/4◎
研究科DP
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全学DP
ー
教職課程の学修目標
ー
講義目的・到達目標
[Aim of this class]
The aim of Thesis Seminar II is to support students in executing their research plan, conducting data analysis, and writing up the drafts of the thesis. This course emphasizes critical thinking, academic rigor in interpreting results, and professional communication skills required for the final defense. [Learning Objectives] Students are expected to 1. Collect and organize data effectively according to the approved methodology. 2. Analyze data, interpret findings, and discuss implications in the context of existing literature. 3. Write the thesis in proper academic style. 授業のサブタイトル・キーワード
data analysis, academic writing, thesis
講義内容・授業計画
[Contents] (Adjustments will be made according to the number of attendees.)
1. Introduction: Review previous work and confirm the tasks and schedule leading up to thesis submission. 2. Research progress presentations by students: students will take turns to present their progress on the execution of the research plan. Each student will have 2-3 individual presentations. 3. Refinement: final polishing to complete the thesis in preparation for submission. 4. Oral thesis defense: students deliver a presentation on their research in front of the class. 対面・遠隔の別
対面
実施方法及び遠隔上限適用対象の別
• In-person classes only
• Not subject to the cap on distance-education credits 生成AIの利用
利用する場面を限定し許可
生成AI注意点
In this course, the use of Generative AI (e.g., ChatGPT, Gemini, etc.) is permitted with strict limitations. The goal is to use AI as a tool, not a replacement for the thinking process.
Students are permitted to use generative AI for the following situations: 1. Brainstorming: students may use AI to generate lists of potential topics or to narrow down a broad interest. 2. Clarification: students may use AI to explain complex concepts or theories they encounter in their learning process. Students are NOT allowed to use AI for: 1. Generating core ideas or data for analysis. 2. Citing information sources. (AI often "hallucinates" non-existing citations. Students must read the references and cite them by themselves.) 教科書
TBD
参考文献
Reading materials will be assigned during the classes.
事前・事後学習(予習・復習)の内容・時間の目安
Students are required to read the assigned learning materials before classes. Preparation before class should take 1~2 hours per week.
Students must accomplish individual assignment, contribute to group project and submit a final report. Studying time out of class is estimated to be around 30~40 hours. アクティブ・ラーニングの内容
Students will have opportunities to participate in discussions and group work in almost every class.
成績評価の基準・方法
The academic performance of the students will be assessed based on
1) contribution to the class (i.e., remarks, discussions, groupwork) (20%); 2) individual presentation on the assigned content (50%); 3) final oral thesis defense (30%). 課題・試験結果の開示方法
Feedback and comments will be given during the classes.
履修上の注意・履修要件
実践的教育
n/a
備考
英語版と日本語版との間に内容の相違が生じた場合は、日本語版を優先するものとします。
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